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| author | Stefan van der Walt <stefanv@berkeley.edu> | 2018-07-25 23:30:39 -0700 |
|---|---|---|
| committer | Stefan van der Walt <stefanv@berkeley.edu> | 2018-07-25 23:30:39 -0700 |
| commit | a4e6f5a12db146221975a2f3d1574434d2df3bf3 (patch) | |
| tree | 6986b0a3bfe59c98cf529101b0a262abb07633a8 /doc | |
| parent | 530a4ae11a19615626fe9ca52414ec54c9f8ab47 (diff) | |
| download | numpy-a4e6f5a12db146221975a2f3d1574434d2df3bf3.tar.gz | |
String encoding: increase uncertainty about correct implementation (as per https://mail.python.org/pipermail/numpy-discussion/2018-July/078472.html)
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/neps/roadmap.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/neps/roadmap.rst b/doc/neps/roadmap.rst index 1cd522463..6aa9b4545 100644 --- a/doc/neps/roadmap.rst +++ b/doc/neps/roadmap.rst @@ -31,7 +31,7 @@ Better dtypes - More consistent support for dtype metadata - Support for writing a dtype in Python - New string dtype(s): - - Encoded strings with fixed-width storage (utf8, latin1, ...) + - Encoded strings with fixed-width storage (utf8, latin1, ...) and/or - Variable length strings (could share implementation with dtype=object, but are explicitly type-checked) - One of these should probably be the default for text data. The current behavior on Python 3 is neither efficient nor user friendly. - `np.int` should not be platform dependent |